Code: NIE-KOD Data Compression
Lecturer: prof. Ing. Jan Holub Ph.D. Weekly load: 2P+1C Completion: A, EX
Department: 18101 Credits: 5 Semester: S
Description:
Students are introduced to the basic principles of data compression. They will learn the necessary theoretical background and get an overview of data compression methods being used in practice. The overview covers principles of integer coding and of statistical, dictionary, and context data compression methods. In addition, students learn the fundamentals of lossy data compression methods used in image, audio, and video compression.
Contents:
1. Introduction, entropy, models, elementary methods.
2. Coding of integers.
3. [2] Statistical methods: Shannon-Fano coding, Huffman coding, arithmetic coding.
4. [2] Dictionary methods: LZ77, LZ78, LZW.
5. [3] Context methods: PPM, DCA, ACB.
6. Burrows-Wheeler compression.
7. Pattern matching in a compressed text.
8. Word-based compression.
9. Introduction to lossy compression (image, audio, video).
Seminar contents:
1. Entropy, models, elementary methods.
2. Coding of integers.
3. Statistical methods, Shannon-Fano coding, Huffman coding.
4. Statistical methods, Arithmetic coding.
5. Dictionary methods, LZ77, LZ78.
6. Dictionary methods, LZW.
7. Context methods, PPM.
8. Context methods, DCA.
9. Context methods, ACB.
10. Burrows-Wheeler compression.
11. Pattern matching in compressed text.
12. Word-based compression.
13. Introduction to lossy compression (image, audio, video).
Recommended literature:
1. Salomon, D. - Motta, G. : Handbook of Data Compression. Springer, 2010. ISBN 978-1-84882-902-2.
2. Sayood, K. : Introduction to Data Compression. Morgan Kaufmann, 2017. ISBN 9780128094747.

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